Literature DB >> 31731367

A computational study on the influence of aortic valve disease on hemodynamics in dilated aorta.

Li Jian Xu1,2, Le Kang Yin3, You Jun Liu4, Fu You Liang1,2.   

Abstract

A computational hemodynamics method was employed to investigate how the morphotype and functional state of aortic valve would affect the characteristics of blood flow in aortas with pathological dilation, especially the intensity and distribution of flow turbulence. Two patient-specific aortas diagnosed to have pathological dilation of the ascending segment while differential aortic valve conditions (i.e., one with a stenotic and regurgitant RL bicuspid aortic valve (RL-BAV), whereas the other with a quasi-normal tricuspid aortic valve (TAV)) were studied. When building the computational models, in addition to in vivo data-based reconstruction of geometrical model and boundary condition setting, the large eddy simulation method was adopted to quantify potential flow turbulence in the aortas. Obtained results revealed the presence of complex flow patterns (denoted by time-varying changes in vortex structure), flow turbulence (indicated by high turbulent eddy viscosity (TEV)), and regional high wall shear stress (WSS) in the ascending segment of both aortas. Such hemodynamic characteristics were significantly augmented in the aorta with RL-BAV. For instance, the space-averaged TEV in late systole and the wall area exposed to high time-averaged WSS (judged by WSS> two times of the mean WSS in the entire aorta) in the ascending aortic segment were increased by 176% and 465%, respectively. Relatively, flow patterns in the descending aortic segment were less influenced by the aortic valve disease. These results indicate that aortic valve disease has profound impacts on flow characteristics in the ascending aorta, especially the distribution and degree of high WSS and flow turbulence.

Entities:  

Keywords:  aortic dilation ; aortic valve disease ; computational model ; flow turbulence ; large eddy simulation

Mesh:

Year:  2019        PMID: 31731367     DOI: 10.3934/mbe.2020031

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  2 in total

1.  The impact of 4D-Flow MRI spatial resolution on patient-specific CFD simulations of the thoracic aorta.

Authors:  Zinedine Khatir; Amirul Khan; Malenka Bissell; Molly Cherry
Journal:  Sci Rep       Date:  2022-09-06       Impact factor: 4.996

2.  Correlation between Pulmonary Artery Pressure and Vortex Duration Determined by 4D Flow MRI in Main Pulmonary Artery in Patients with Suspicion of Chronic Thromboembolic Pulmonary Hypertension (CTEPH).

Authors:  Jean-François Deux; Lindsey A Crowe; Léon Genecand; Anne-Lise Hachulla; Carl G Glessgen; Stéphane Noble; Maurice Beghetti; Jin Ning; Daniel Giese; Frédéric Lador; Jean-Paul Vallée
Journal:  J Clin Med       Date:  2022-09-05       Impact factor: 4.964

  2 in total

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